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96 lines
3.7 KiB
96 lines
3.7 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include "paddle/platform/device_context.h"
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#include "paddle/platform/enforce.h"
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#include "paddle/platform/hostdevice.h"
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#include "paddle/platform/place.h"
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#include <algorithm>
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#include <type_traits>
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#ifdef __NVCC__
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#include <thrust/execution_policy.h>
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#include <thrust/transform.h>
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#include "paddle/platform/details/device_ptr_cast.h"
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#endif
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namespace paddle {
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namespace platform {
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// Transform on host or device. It provides the same API in std library.
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template <typename Place>
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struct Transform {
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template <typename InputIter, typename OutputIter, typename UnaryOperation>
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void operator()(const DeviceContext& context, InputIter first, InputIter last,
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OutputIter result, UnaryOperation op);
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template <typename InputIter1, typename InputIter2, typename OutputIter,
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typename BinaryOperation>
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void operator()(const DeviceContext& context, InputIter1 first1,
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InputIter1 last1, InputIter2 first2, OutputIter result,
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BinaryOperation op);
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};
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template <>
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struct Transform<platform::CPUPlace> {
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template <typename InputIter, typename OutputIter, typename UnaryOperation>
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void operator()(const DeviceContext& context, InputIter first, InputIter last,
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OutputIter result, UnaryOperation op) {
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std::transform(first, last, result, op);
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}
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template <typename InputIter1, typename InputIter2, typename OutputIter,
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typename BinaryOperation>
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void operator()(const DeviceContext& context, InputIter1 first1,
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InputIter1 last1, InputIter2 first2, OutputIter result,
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BinaryOperation op) {
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std::transform(first1, last1, first2, result, op);
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}
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};
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#ifdef __NVCC__
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template <>
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struct Transform<platform::GPUPlace> {
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template <typename InputIter, typename OutputIter, typename UnaryOperation>
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void operator()(const DeviceContext& context, InputIter first, InputIter last,
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OutputIter result, UnaryOperation op) {
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auto place = context.GetPlace();
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PADDLE_ENFORCE(is_gpu_place(place), "It must use GPU place.");
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auto& ctx = reinterpret_cast<const CUDADeviceContext&>(context);
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thrust::transform(thrust::cuda::par.on(ctx.stream()),
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details::DevPtrCast(first), details::DevPtrCast(last),
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details::DevPtrCast(result), op);
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}
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template <typename InputIter1, typename InputIter2, typename OutputIter,
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typename BinaryOperation>
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void operator()(const DeviceContext& context, InputIter1 first1,
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InputIter1 last1, InputIter2 first2, OutputIter result,
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BinaryOperation op) {
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auto place = context.GetPlace();
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PADDLE_ENFORCE(is_gpu_place(place), "It must use GPU place.");
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auto& ctx = reinterpret_cast<const CUDADeviceContext&>(context);
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thrust::transform(thrust::cuda::par.on(ctx.stream()),
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details::DevPtrCast(first1), details::DevPtrCast(last1),
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details::DevPtrCast(first2), details::DevPtrCast(result),
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op);
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}
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};
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#endif
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} // namespace platform
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} // namespace paddle
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